TY - JOUR
T1 - Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus
AU - Maulucci, Giuseppe
AU - Cordelli, Ermanno
AU - Rizzi, Alessandro
AU - De Leva, Francesca
AU - Papi, Massimiliano
AU - Ciasca, Gabriele
AU - Samengo, Daniela Maria
AU - Pani, Giovambattista
AU - Pitocco, Dario
AU - Soda, Paolo
AU - Ghirlanda, Giovanni
AU - Iannello, Giulio
AU - De Spirito, Marco
PY - 2017
Y1 - 2017
N2 - Glycosylation, oxidation and other post-translational modifications of membrane and transmembrane proteins can alter lipid density, packing and interactions, and are considered an important factor that affects fluidity variation in membranes. Red blood cells (RBC) membrane physical state, showing pronounced alterations in Type 1 diabetes mellitus (T1DM), could be the ideal candidate for monitoring the disease progression and the effects of therapies. On these grounds, the measurement of RBC membrane fluidity alterations can furnish a more sensitive index in T1DM diagnosis and disease progression than Glycosylated hemoglobin (HbA1c), which reflects only the information related to glycosylation processes. Here, through a functional two-photon microscopy approach we retrieved fluidity maps at submicrometric scale in RBC of T1DM patients with and without complications, detecting an altered membrane equilibrium. We found that a phase separation between fluid and rigid domains occurs, triggered by systemic effects on membranes fluidity of glycation and oxidation. The phase separation patterns are different among healthy, T1DM and T1DM with complications patients. Blood cholesterol and LDL content are positively correlated with the extent of the phase separation patterns. To quantify this extent a machine learning approach is employed to develop a Decision-Support-System (DSS) able to recognize different fluidity patterns in RBC. Preliminary analysis shows significant differences(p<0.001) among healthy, T1DM and T1DM with complications patients. The development of an assay based on Phase separation of the plasma membrane of the Red Blood cells is a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus, and could allow customization and the selection of medical treatments in T1DM in clinical settings, and enable the early detection of complications.
AB - Glycosylation, oxidation and other post-translational modifications of membrane and transmembrane proteins can alter lipid density, packing and interactions, and are considered an important factor that affects fluidity variation in membranes. Red blood cells (RBC) membrane physical state, showing pronounced alterations in Type 1 diabetes mellitus (T1DM), could be the ideal candidate for monitoring the disease progression and the effects of therapies. On these grounds, the measurement of RBC membrane fluidity alterations can furnish a more sensitive index in T1DM diagnosis and disease progression than Glycosylated hemoglobin (HbA1c), which reflects only the information related to glycosylation processes. Here, through a functional two-photon microscopy approach we retrieved fluidity maps at submicrometric scale in RBC of T1DM patients with and without complications, detecting an altered membrane equilibrium. We found that a phase separation between fluid and rigid domains occurs, triggered by systemic effects on membranes fluidity of glycation and oxidation. The phase separation patterns are different among healthy, T1DM and T1DM with complications patients. Blood cholesterol and LDL content are positively correlated with the extent of the phase separation patterns. To quantify this extent a machine learning approach is employed to develop a Decision-Support-System (DSS) able to recognize different fluidity patterns in RBC. Preliminary analysis shows significant differences(p<0.001) among healthy, T1DM and T1DM with complications patients. The development of an assay based on Phase separation of the plasma membrane of the Red Blood cells is a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus, and could allow customization and the selection of medical treatments in T1DM in clinical settings, and enable the early detection of complications.
KW - Agricultural and Biological Sciences (all)
KW - Biochemistry, Genetics and Molecular Biology (all)
KW - Cholesterol
KW - Decision Support Systems, Clinical
KW - Diabetes Mellitus, Type 1
KW - Diagnostic Techniques and Procedures
KW - Disease Progression
KW - Erythrocyte Membrane
KW - Glycated Hemoglobin A
KW - Glycosylation
KW - Humans
KW - Insulin
KW - Lipoproteins, LDL
KW - Membrane Fluidity
KW - Membrane Microdomains
KW - Oxidation-Reduction
KW - Agricultural and Biological Sciences (all)
KW - Biochemistry, Genetics and Molecular Biology (all)
KW - Cholesterol
KW - Decision Support Systems, Clinical
KW - Diabetes Mellitus, Type 1
KW - Diagnostic Techniques and Procedures
KW - Disease Progression
KW - Erythrocyte Membrane
KW - Glycated Hemoglobin A
KW - Glycosylation
KW - Humans
KW - Insulin
KW - Lipoproteins, LDL
KW - Membrane Fluidity
KW - Membrane Microdomains
KW - Oxidation-Reduction
UR - http://hdl.handle.net/10807/122397
UR - http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0184109&type=printable
U2 - 10.1371/journal.pone.0184109
DO - 10.1371/journal.pone.0184109
M3 - Meeting Abstract
SN - 1932-6203
VL - 12
SP - N/A-N/A
JO - PLoS One
JF - PLoS One
ER -